Kore Technologies has introduced Kourier Integrator Release 4.2, the latest version of its enterprise integration and data management suite. The new release includes improvements to the enterprise application integration (EAI) and extract-transform-load (ETL) capabilities of the product, as well as support for the latest version of Microsoft SQL Server.

With this release, the EAI capabilities of the product have been enhanced with the addition of a framework for creating bi-directional application programming interfaces (APIs) using REST-based principles. This will enable developers to use the new framework to build APIs that provide secure, real-time access to MultiValue data from external applications such as customer relationship management, forecasting and pricing optimization.

The new support for creating APIs using REST principles is mainly targeted at UniData and UniVerse (U2) customers, said Mark Dobransky, co-founder and managing partner of Kore, noting that the vast majority of Kore’s customers have at least one instance of one or the other. “It is a very easy interface to have people develop against. It allows a service architecture to be applied to UniData and UniVerse.”

In general, he observed, there is a drive to have UniData and UniVerse act more like traditional databases and have better connectivity. By providing the ability to add data in real time using REST-based principles, Kore is making it easier for developers to have third-party applications integrate with a UniData and UniVerse-based ERP system in real time and doing so in a way that maintains the integrity of an existing ERP application running on UniData or UniVerse.

The 4.2 release also continues Kore’s ongoing commitment to the Microsoft stack with new support for SQL Server 2014. “It is important to keep up with where Microsoft is leading the market,” said Dobransky, emphasizing that even subtle changes can have an impact, making it necessary to stay up to date to make sure software works with the newest release.

And finally, because everyone wants to go faster when they are doing data warehousing, said Dobransky, the extract-transform-load process has been enhanced to increase speed for data loading by a factor of 20. “It was really fast before and now, it is even faster.”